Senior Data Engineer - Greenfield Finance Platform

Amazon; Seattle (WA); On-site; USD 132,100 - 178,800; Full time

Benefits offered by this job

Comprehensive health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon is seeking a Senior Data Engineer in Seattle to build a finance data platform for the FAIM team. You will own the entire data infrastructure, from ETL pipelines to reporting layers, driving standards for data quality and reliability.

A spirited and empowered environment awaits you, where you can leverage AWS technologies and foster partnerships across engineering and finance. If you have 3+ years of data engineering experience and want to contribute toward innovative AI products, we'd love to hear from you.

Qualifications

• 3+ years of data engineering experience.
• Experience with large-scale data structures and ETL processes.
• Deep experience with SQL, data modeling, and warehousing.

Responsibilities

• Set the technical direction for the FAIM data warehouse.
• Architect and operate ETL pipelines and dashboards.
• Integrate telemetry from Amazon's data ecosystem.
• Deliver on OP1/OP2 cycles and ad-hoc executive asks.
• Turn messy data into scalable dimensional models.
• Drive design reviews and set data quality standards.

Skills

SQL fluency

Data modeling

Python

AWS technologies

Data quality automation

Experience in ambiguity

AI-native experience

Tools

Redshift

AWS Glue

S3

Kinesis

Datanet/ETLM

Job description

Amazon is seeking a Senior Data Engineer in Seattle to build a finance data platform for the FAIM team. You will own the entire data infrastructure, from ETL pipelines to reporting layers, driving standards for data quality and reliability.

A spirited and empowered environment awaits you, where you can leverage AWS technologies and foster partnerships across engineering and finance. If you have 3+ years of data engineering experience and want to contribute toward innovative AI products, we'd love to hear from you.